The Stream Software Connector Design Space: Frameworks and Languages for Distributed Stream Processing

Babazadeh, Masiar; Pautasso, Cesare

doi:10.1109/wicsa.2014.42

Cited by 8 publications

(5 citation statements)

References 32 publications

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“…A microservice in the fifth layer can detect such duplicate artefacts by checking unique id of an article (essentially, one can track the complete chain of transformations associated with a given message using Breadcrumbs concept [2]) and either eliminate or keep a duplicate record (depending on the needs of an analytic model that it is serving). 3 It can also be used to save new data points and update model's state.…”

Section: N >mentioning

confidence: 99%

“…With the availability of reliable fault tolerant tools and infrastructure, enterprises are building streaming applications to act on real-time data (at least 13 frameworks exist for processing streams [3]). While classic software architecture design principles still apply to analytic applications processing streaming data, the data have direct impact on architectural decision making and quality attributes [15].…”

Section: B Architecture For Streaming Datamentioning

confidence: 99%

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Architecture for Analysis of Streaming Data

Hoque¹,

Miranskyy

2018

2018 IEEE International Conference on Cloud Engineering (IC2E)

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While several attempts have been made to construct a scalable and flexible architecture for analysis of streaming data, no general model to tackle this task exists. Thus, our goal is to build a scalable and maintainable architecture for performing analytics on streaming data.To reach this goal, we introduce a 7-layered architecture consisting of microservices and publish-subscribe software. Our study shows that this architecture yields a good balance between scalability and maintainability due to high cohesion and low coupling of the solution, as well as asynchronous communication between the layers.This architecture can help practitioners to improve their analytic solutions. It is also of interest to academics, as it is a building block for a general architecture for processing streaming data.

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Section: N >mentioning

confidence: 99%

Section: B Architecture For Streaming Datamentioning

confidence: 99%

Architecture for Analysis of Streaming Data

Hoque¹,

Miranskyy

2018

2018 IEEE International Conference on Cloud Engineering (IC2E)

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“…Supercomputers play an important role in the field of computational science, and are used in various fields, including quantum mechanics, weather forecasting, oil and gas exploration, molecular modelling and physical simulations. Computations can be done in fraction of seconds [15]. A protocol that one program can use to request a service by the use of a program that is placed in alternative computer in a network without the need to know network details is the Remote Procedure Call (RPC).…”

Section: Supercomputermentioning

confidence: 99%

Solid State Relay Switches Control Using MSP 430 for Instantaneous High Current Supply

T.K¹,

Shah²

2017

Int. J. Res. Granthaalayah

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Microcontroller MSP430 is used to control the SSR switches to supply a very high current. PC is interfaced to the supercomputer for computations. SSR and contactor switches are used to pass the current. Capacitor discharge system is also used to supply a very high current around 170-200A. High current is passed to the sample specimen placed inside the heater which needs to be heated at a very high temperature. The current pulse is generated by the capacitor discharge system. Power supply for regular heater is suspended temporarily and capacitor is allowed to discharge using the Capacitor discharge heating. This is achieved by the instructions through the computer to the microcontroller. Current injection at the particular instant is done with the help of a software by initiating an interrupt from the computer. The interrupt pin of the microcontroller becomes high by this and the operation is initiated correspondingly. Thus the MSP430 receives the command to give the necessary pulse of current for heating at the required time. Feedback is received with regard to the position of the switches whether the particular SSR is ON or OFF. Injection of power depends on the corresponding switch positions by giving the necessary instructions by the computer.

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“…Most existing streaming frameworks and systems (e.g., see [2,5,6] for a recent survey) make use of RPC for setting up and dynamically adjusting the structure of the running topology.…”

Section: Related Workmentioning

confidence: 99%

A RESTful API for controlling dynamic streaming topologies

Babazadeh

Pautasso

2014

Proceedings of the 23rd International Conference on World Wide Web

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Streaming applications have become more and more dynamic and heterogeneous thanks to new technologies which enable platforms like microcontrollers and Web browsers to be able to host part of a streaming topology. A dynamic heterogeneous streaming application should support load balancing and fault tolerance while being capable of adapting and rearranging topologies to user needs at runtime. In this paper we present a REST API to control dynamic heterogeneous streaming applications. By means of resources, their uniform interface and hypermedia we show how it is possible to monitor, change and adapt the deployment configuration of a streaming topology at runtime.

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The Stream Software Connector Design Space: Frameworks and Languages for Distributed Stream Processing

Cited by 8 publications

References 32 publications

Architecture for Analysis of Streaming Data

Architecture for Analysis of Streaming Data

Solid State Relay Switches Control Using MSP 430 for Instantaneous High Current Supply

A RESTful API for controlling dynamic streaming topologies

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